File size: 5,755 Bytes
9f4d98c
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
{
    "config": {
        "name": "cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased",
        "backend": {
            "name": "pytorch",
            "version": "2.3.0+cpu",
            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
            "task": "fill-mask",
            "model": "google-bert/bert-base-uncased",
            "library": "transformers",
            "device": "cpu",
            "device_ids": null,
            "seed": 42,
            "inter_op_num_threads": null,
            "intra_op_num_threads": null,
            "hub_kwargs": {
                "revision": "main",
                "force_download": false,
                "local_files_only": false,
                "trust_remote_code": false
            },
            "no_weights": true,
            "device_map": null,
            "torch_dtype": null,
            "eval_mode": true,
            "to_bettertransformer": false,
            "low_cpu_mem_usage": null,
            "attn_implementation": null,
            "cache_implementation": null,
            "autocast_enabled": false,
            "autocast_dtype": null,
            "torch_compile": false,
            "torch_compile_target": "forward",
            "torch_compile_config": {},
            "quantization_scheme": null,
            "quantization_config": {},
            "deepspeed_inference": false,
            "deepspeed_inference_config": {},
            "peft_type": null,
            "peft_config": {}
        },
        "scenario": {
            "name": "inference",
            "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
            "iterations": 1,
            "duration": 1,
            "warmup_runs": 1,
            "input_shapes": {
                "batch_size": 1,
                "num_choices": 2,
                "sequence_length": 2
            },
            "new_tokens": null,
            "latency": true,
            "memory": true,
            "energy": true,
            "forward_kwargs": {},
            "generate_kwargs": {
                "max_new_tokens": 2,
                "min_new_tokens": 2
            },
            "call_kwargs": {
                "num_inference_steps": 2
            }
        },
        "launcher": {
            "name": "process",
            "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
            "device_isolation": false,
            "device_isolation_action": "error",
            "start_method": "spawn"
        },
        "environment": {
            "cpu": " AMD EPYC 7763 64-Core Processor",
            "cpu_count": 4,
            "cpu_ram_mb": 16757.346304,
            "system": "Linux",
            "machine": "x86_64",
            "platform": "Linux-6.5.0-1018-azure-x86_64-with-glibc2.35",
            "processor": "x86_64",
            "python_version": "3.10.14",
            "optimum_benchmark_version": "0.2.0",
            "optimum_benchmark_commit": "2e77e02d1fd3ab0d2e788c3d89c12299219a25e8",
            "transformers_version": "4.40.2",
            "transformers_commit": null,
            "accelerate_version": "0.30.0",
            "accelerate_commit": null,
            "diffusers_version": "0.27.2",
            "diffusers_commit": null,
            "optimum_version": null,
            "optimum_commit": null,
            "timm_version": "0.9.16",
            "timm_commit": null,
            "peft_version": null,
            "peft_commit": null
        }
    },
    "report": {
        "forward": {
            "memory": {
                "unit": "MB",
                "max_ram": 867.168256,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 24,
                "total": 1.007975063999993,
                "mean": 0.0419989609999997,
                "stdev": 0.0019319255324772137,
                "p50": 0.04262508699997625,
                "p90": 0.04356798539997726,
                "p95": 0.04362669644999358,
                "p99": 0.04424476991001029,
                "values": [
                    0.042812983000033,
                    0.043610072999968,
                    0.042484940000008464,
                    0.04297494499996901,
                    0.04260547600000564,
                    0.04264469799994686,
                    0.041934210000022176,
                    0.04164361599998756,
                    0.04277708600000096,
                    0.042425047999984145,
                    0.04277237700000569,
                    0.041670296999996026,
                    0.0422928809999803,
                    0.04233188300003121,
                    0.042860111000038614,
                    0.043469780999998875,
                    0.044428513000013936,
                    0.04362962999999809,
                    0.04332854699998734,
                    0.042980515000010655,
                    0.040318280000008144,
                    0.03734905700002855,
                    0.037290908999978,
                    0.037339207999991686
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 23.810112826362705
            },
            "energy": {
                "unit": "kWh",
                "cpu": 1.4726391545048467e-06,
                "ram": 6.154388759241598e-08,
                "gpu": 0.0,
                "total": 1.5341830420972626e-06
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 651812.7058900205
            }
        }
    }
}